Key Frame Detection Method from News Program using Common Features to News Topics

Article Sidebar

PDF
Published: Feb 28, 2011
DOI: https://doi.org/10.37936/ecti-eec.201192.172512
Keywords:
Key frame News Topics Shot Detection

Main Article Content

Kohei Sato
Department of Information and Computer Science, Seikei University
Masaru Sugano
KDDI R&D Laboratories, Inc.,
Hitomi Murakami
Department of Information and Computer Science, Seikei University
Atsushi Koike
Department of Information and Computer Science, Seikei University

Abstract

A hard disk drive and a flash memory have become high capacity, so that we are now in the situation where a lot of TV programs can be recorded. However, while convenient, it is not easy to watch all the recorded programs in a limited time. Therefore, an efficient TV browsing application is needed. In this paper, we propose a key frame detection method for TV news program to allow a viewer to efficiently browse TV news programs and/or particular TV news topics. Instead of using features specific to certain news topics, our proposal is to extract important features which are common to news topics, and to generally detect the unique key frame which best represents each news topic. We show the validity of our proposed method by a simulation experiment.

Article Details

How to Cite
Sato, K., Sugano, M., Murakami, H., & Koike, A. (2011). Key Frame Detection Method from News Program using Common Features to News Topics. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 9(2), 308–314. https://doi.org/10.37936/ecti-eec.201192.172512
Issue
Vol. 9 No. 2 (2011): Regular Issue
Section
Research Article

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

- Creative Commons Copyright License

The journal allows readers to download and share all published articles as long as they properly cite such articles; however, they cannot change them or use them commercially. This is classified as CC BY-NC-ND for the creative commons license. 

- Retention of Copyright and Publishing Rights

The journal allows the authors of the published articles to hold copyrights and publishing rights without restrictions.

References

[1] T. Takahashi, M. Sugano, and S. Sakazawa: "Automatic Thumbnail Extraction for DVR Based on Production Technique Estimation," IEEE Transactions on Consumer Electronics, vol.56, no.2, pp.888-894, May.2010

[2] T. Takahashi, M. Sugano, and S. Sakazawa: "Intuitive Thumbnail Extraction for Content/Scene Navigation," ITE Technical Report, vol.34, no.8, pp.13-16, Feb.2010[In Japanese].

[3] G. Ciocca and R. Schettini: "An innovative algorithm for key frame extraction in video summarization," J. Real-Time Image Process, vol.1, no. 1, pp. 69-88, 2006.

[4] R. Ogushi, K. Takeuchi, Q. Zhu, A. Kodate, and H. Tominaga : "Extraction of Keyframes from Video Sequence," IPSJ, pp.53-58, Mar.2001[In Japanese].

[5] G. Liu, and J. Zhao: "Key Frame Extraction from MPEG Video Stream," ISCSCT'09,pp.007-011, Dec.2009

[6] M. Smith and T. Kanade: "Video Skimming and Characterization through the Combination of Image and Language Understanding," Proc. ICCV98, pp.61-70, Jan.1998.